Manawatū-Whanganui · Applied AI

Built and supported here – the way a Whanganui business would actually use it.

Most of our Whanganui engagements start the same way: a 20-minute call where the owner describes a workflow we've heard before in shape but never in detail. MCP integrations is then designed against the detail, not the shape.

What MCP integrations actually does

Wire Claude, ChatGPT, or Gemini directly into your tools with the Model Context Protocol. Your team uses AI in their existing inbox, CRM, or chat – with your data, your permissions, your guardrails.

  • 01 Custom MCP servers for your CRM, ERP, or in-house tools
  • 02 Permission-aware so AI only sees what each user can
  • 03 Tool-call audit log for compliance
  • 04 Works with Claude Desktop, ChatGPT, Cursor, and more

Built on: MCP Claude TypeScript Vercel

Manawatū-Whanganui

The Whanganui context, plainly.

  • Whanganui blends creative scene, river-led tourism, and steady local trades – AI here helps small operators run lighter and reach further.
  • Tourism, creative industries, and a growing remote-work population. AI tools that scale a small team's reach without enterprise overhead win.

We work with teams across Whanganui: Whanganui CBD · Castlecliff · Aramoho · Marton · Bulls.

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How we build MCP integrations for a Whanganui team.

We scope narrow, ship a working pilot, then harden it into production. The first slice is the highest-leverage workflow for your Whanganui business, so value lands before the build is finished. Connect Claude to your stack.

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The outcome for Whanganui teams

The shape of the result for Whanganui teams: Existing AI tools become 10x more useful with real business context. Built on MCP, hardened with the rest of the stack as it scales.

Not your typical AI agency.

Honest about what AI can and cannot do

Ships the one workflow that pays for itself

Hours given back, never the size of the invoice

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*Every engagement is scoped and quoted up front. Results vary by workflow and business.

How much is not automating costing you?

Nine hours a week of admin is 468 hours a year. With Kiwi Dynamics, that drops to about 52.

Try the calculator

*Based on 9 hours a week of admin at Kiwi Dynamics' typical 80% automation rate. Your number may vary, the calculator uses your own.

Questions

FAQ

How long does MCP integrations take to ship for Whanganui businesses?

We aim for a working pilot inside 4-6 weeks – narrow scope, real Whanganui businesses data, measurable outcome. From there it's another 6-8 weeks of hardening before you'd consider it production. Full rollouts (multiple sites, multiple teams) typically land in 3-4 months.

Are there hidden costs we should plan for?

Three to know about: model/API spend (which we set up under your own account, not ours, so you see and control it), any new SaaS subscriptions we recommend, and your team's time during rollout. We surface all three in the quote so there are no surprises.

Anyone else in this space using MCP integrations?

Plenty. Existing AI tools become 10x more useful with real business context. The interesting question is rarely "does it work" – it's "is your team ready to use the output." That's what we'd scope on the call.

Who owns the code and the model setup?

You do, on delivery. We deploy MCP integrations into your own cloud account where possible, with the model setup, prompts, evals and integration code all checked into a repo you own. MCP sits in your account too – we don't operate it from ours.

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Talk to us about this

Tell us what you're trying to do and we'll reply with how we'd build it — no obligation.